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- W2372298032 abstract "In order to overcome the problems of medical image segmentation by current clustering technology, we offer and implement a density clustering based medical image segmentation method DSLDC-MIS. On the ground of data organization and density function construction of DENCLUE, this method makes use of optimal gradient technique to implement medical image segmentation by dynamic step length of hill climbing strategy. Experiments results show that DSLDS-MIS can segment medical image very well and has better time performance, better ability of controlling clusters number and better consistency and contrast than DENCLUE." @default.
- W2372298032 created "2016-06-24" @default.
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- W2372298032 date "2007-01-01" @default.
- W2372298032 modified "2023-09-23" @default.
- W2372298032 title "Research on Medical Image Segmentation Based on Dynamic Step Length Density Clustering" @default.
- W2372298032 hasPublicationYear "2007" @default.
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